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 Series Title: Number Unemployed for 5-6 weeks 45-54 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  9386.
 2003 01  1060·
 2002 12 5398·
 2002 11 8679·
 2002 10 041.
 2002 09 8529·
 2002 08 3544·
 2002 07 74115.
 2002 06 565·
 2002 05 9076·
 2002 04 5049·
 2002 03 9167.
 2002 02 5876·
 2002 01 687.
 2001 12  1080.
 2001 11  8382·
 2001 10  3471.
 2001 09  4135.
 2001 08  5354.
 2001 07  1880.
 2001 06  3453.
 2001 05  2548.
 2001 04  4117.
 2001 03  9072·
 2001 02  8364·
 2001 01  1548·
 2000 12 6482.
 2000 11 1952·
 2000 10 3249.
 2000 09 9350.
 2000 08 3352·
 2000 07 4867·
 2000 06 5636.
 2000 05 6650.
 2000 04 8624.
 2000 03 4734·
 2000 02 5576·
 2000 01 6565.
 1999 12  87101.
 1999 11  1049·
 1999 10  5445·
 1999 09  4726.
 1999 08  2347.
 1999 07  5641·
 1999 06  535.
 1999 05  9313·
 1999 04  837·
 1999 03  3064.
 1999 02  8365.
 1999 01  1058·
 1998 12 7855.
 1998 11 9954·
 1998 10 8746·
 1998 09 3024·
 1998 08 9744·
 1998 07 5953·
 1998 06 4352·
 1998 05 1054.
 1998 04 5342.
 1998 03 2944·
 1998 02 272.
 1998 01 3128·
 1997 12  5958·
 1997 11  5239.
 1997 10  4050.
 1997 09  9925.
 1997 08  5341·
 1997 07  9840.
 1997 06  5537.
 1997 05  4634.
 1997 04  9758.
 1997 03  6152.
 1997 02  7585·
 1997 01  3038.
 1996 12 8074.
 1996 11 6157.
 1996 10 4861·
 1996 09 3135.
 1996 08 1354·
 1996 07 4022·
 1996 06 5266.
 1996 05 5741·
 1996 04 3631.
 1996 03 7043.
 1996 02 8564·
 1996 01 3853·
 1995 12  1165·
 1995 11  4237·
 1995 10  7458.
 1995 09  3231·
 1995 08  2645·
 1995 07  7844·
 1995 06  6859.
 1995 05  2037·
 1995 04  9424·
 1995 03  2057·
 1995 02  4462·
 1995 01  944·
 1994 12 5375·
 1994 11 3851·
 1994 10 152·
 1994 09 3021·
 1994 08 6560·
 1994 07 2739·
 1994 06 6637·
 1994 05 4149.
 1994 04 1935·
 1994 03 462·
 1994 02 8795·
 1994 01 2250·
 1993 12  2759.
 1993 11  1657·
 1993 10  4251·
 1993 09  8062.
 1993 08  2869.
 1993 07  2965.
 1993 06  2953·
 1993 05  4863·
 1993 04  8477.
 1993 03  4092.
 1993 02  7588·
 1993 01  8195.
 1992 12 83102.
 1992 11 6672·
 1992 10 3068.
 1992 09 6176.
 1992 08 3785·
 1992 07 5274·
 1992 06 6948·
 1992 05 9650.
 1992 04 8662·
 1992 03 6872.
 1992 02 9385.
 1992 01 1691.
 1991 12  9286.
 1991 11  764.
 1991 10  2768·
 1991 09  7895.
 1991 08  4270.
 1991 07  8876.
 1991 06  2257·
 1991 05  6464·
 1991 04  5084·
 1991 03  5556·
 1991 02  5286·
 1991 01  81114·
 1990 12 5371·
 1990 11 7973·
 1990 10 1949·
 1990 09 5952·
 1990 08 1427.
 1990 07 5266·
 1990 06 4750.
 1990 05 5758.
 1990 04 2249.
 1990 03 9455·
 1990 02 8885.
 1990 01 5555.
 1989 12  8950.
 1989 11  4949.
 1989 10  1546.
 1989 09  6042·
 1989 08  5348.
 1989 07  8747·
 1989 06  3146.
 1989 05  330.
 1989 04  7649·
 1989 03  143.
 1989 02  6070.
 1989 01  4260.
 1988 12 4884.
 1988 11 1064·
 1988 10 5244·
 1988 09 5862·
 1988 08 8040.
 1988 07 6067.
 1988 06 8438.
 1988 05 5856.
 1988 04 1128.
 1988 03 1840·
 1988 02 5458·
 1988 01 7372.
 1987 12  346·
 1987 11  7954·
 1987 10  9059·
 1987 09  6032.
 1987 08  4454·
 1987 07  6239·
 1987 06  4137.
 1987 05  040·
 1987 04  4849.
 1987 03  1155·
 1987 02  8291.
 1987 01  161.
 1986 12 5250·
 1986 11 9666.
 1986 10 1455.
 1986 09 9366·
 1986 08 1947·
 1986 07 1077·
 1986 06 6343·
 1986 05 3452.
 1986 04 3767.
 1986 03 7372.
 1986 02 7899.
 1986 01 569·
 1985 12  1986·
 1985 11  2844·
 1985 10  3672.
 1985 09  1254·
 1985 08  242.
 1985 07  4671.
 1985 06  3666.
 1985 05  8861·
 1985 04  5055.
 1985 03  2066·
 1985 02  382.
 1985 01  9081.
 1984 12 5098.
 1984 11 6957·
 1984 10 9082·
 1984 09 9752·
 1984 08 1636·
 1984 07 3750.
 1984 06 6941.
 1984 05 1840.
 1984 04 8532.
 1984 03 9443·
 1984 02 4369.
 1984 01 8465·
 1983 12  2083.
 1983 11  3349.
 1983 10  3773.
 1983 09  5254·
 1983 08  975·
 1983 07  7480.
 1983 06  046.
 1983 05  360.
 1983 04  6556.
 1983 03  6172.
 1983 02  878.
 1983 01  4459·
 1982 12 2654.
 1982 11 6462.
 1982 10 6270·
 1982 09 654.
 1982 08 5580·
 1982 07 7557.
 1982 06 8850.
 1982 05 4663.
 1982 04 3966·
 1982 03 1591.
 1982 02 34116.
 1982 01 4673·
 1981 12  9279·
 1981 11  2761·
 1981 10  7783.
 1981 09  1340·
 1981 08  5166.
 1981 07  8161.
 1981 06  1842·
 1981 05  7858·
 1981 04  7930·
 1981 03  7155.
 1981 02  8172·
 1981 01  9764.
 1980 12 6563.
 1980 11 1554.
 1980 10 1764.
 1980 09 5352·
 1980 08 2041·
 1980 07 5980.
 1980 06 246·
 1980 05 5249.
 1980 04 8448·
 1980 03 7142.
 1980 02 3570.
 1980 01 2559·
 1979 12  1869.
 1979 11  4543.
 1979 10  4238.
 1979 09  3041.
 1979 08  1139.
 1979 07  147.
 1979 06  7436·
 1979 05  4834.
 1979 04  7627.
 1979 03  8260.
 1979 02  670.
 1979 01  8576·
 1978 12 5040.
 1978 11 5834·
 1978 10 3838.
 1978 09 7330·
 1978 08 9744.
 1978 07 2358·
 1978 06 9641.
 1978 05 6935·
 1978 04 440.
 1978 03 9636.
 1978 02 3050·
 1978 01 5553.
 1977 12  8438.
 1977 11  2152·
 1977 10  1660·
 1977 09  3746·
 1977 08  7547.
 1977 07  6735·
 1977 06  5334.
 1977 05  4730.
 1977 04  4031·
 1977 03  2945.
 1977 02  6865.
 1977 01  4169·
 1976 12 6758.
 1976 11 2665·
 1976 10 1049·
 1976 09 125·
 1976 08 6844.
 1976 07 157.
 1976 06 5656.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

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      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Number Unemployed for 5-6 weeks 45-54 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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